
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger strong hits: 1 | High-risk paths: shells, RCE vectors, exploits | +25 | |
| Danger medium hits: 1 | Medium-risk: admin panels, config files | +10 | |
| 404 ratio >= 60% | Majority of requests returned 404 — enumeration | +25 | |
| POST requests present | Behavioral anomaly detected by automated analysis | +8 | |
| Danger strong hits: 3 | High-risk paths: shells, RCE vectors, exploits | +75 | |
| Danger medium hits: 2 | Medium-risk: admin panels, config files | +20 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 2.49.145.148 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 443 | HTTPS | Low | HTTPS web server — encrypted web traffic |
| 1723 | PPTP | Low | Service on port 1723 |
| 8081 | Unknown | Low | Service on port 8081 |
| CVE ID | Link |
|---|---|
| CVE-2023-31122 | NVD → |
| CVE-2021-44224 | NVD → |
| CVE-2020-35452 | NVD → |
| CVE-2020-13938 | NVD → |
| CVE-2009-2299 | NVD → |
| CVE-2012-3526 | NVD → |
| CVE-2024-38473 | NVD → |
| CVE-2024-39573 | NVD → |
| CVE-2024-24795 | NVD → |
| CVE-2021-32785 | NVD → |
| CVE-2019-10098 | NVD → |
| CVE-2021-32792 | NVD → |
| CVE-2022-29404 | NVD → |
| CVE-2024-38475 | NVD → |
| CVE-2013-2765 | NVD → |
| CVE-2025-49812 | NVD → |
| CVE-2024-47252 | NVD → |
| CVE-2019-10092 | NVD → |
| CVE-2019-0217 | NVD → |
| CVE-2022-31813 | NVD → |
| CVE-2025-53020 | NVD → |
| CVE-2023-38709 | NVD → |
| CVE-2012-4360 | NVD → |
| CVE-2022-30556 | NVD → |
| CVE-2019-0220 | NVD → |
🔴 Security scanning identified 90 vulnerability entries on this host. This volume strongly suggests severely outdated software. Consult NVD advisories for details.
Data source: Shodan InternetDB. Scanned independently of abuse.mom.
This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.
Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.
2.49.145.148 has been assigned a threat score of 103/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.
The following attack categories were identified:
Threat intelligence analysis has linked 2.49.145.148 to malicious activity originating from Dubai, AE, operating on the network of Emirates Telecommunications Corporation. The address has been under observation since its initial detection. During its 14-day observation window, we recorded 3 hostile requests from this IP — roughly 0.2 per day on average. The address is classified as residential, meaning it likely belongs to an end-user ISP connection. Malicious activity from residential IPs typically indicates device compromise or botnet membership. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. Our records show 101 malicious IPs originating from AE, positioning it as a significant contributor to global threat activity. At 103/100, this is an extremely high-risk address. All traffic should be considered hostile.
This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.
SSRF attacks trick servers into making requests to internal resources that should not be publicly accessible. This can expose cloud metadata endpoints, internal APIs, and private network services, potentially leading to full infrastructure compromise.
SQL injection remains one of the most common web attack vectors. Attackers inject malicious SQL code through input fields to extract database contents, modify data, or gain administrative access. Automated scanners test for SQLi vulnerabilities at massive scale.